Enabling and Connecting Interoperable FAIR Digital Objects
Despite significant progress in open data, code sharing, and implementation of FAIR principles, there is no automated, universal mechanism capable to “FAIR-ify” DOs across large cross-domain repositories and data spaces. RAISE-CONNECT addresses this challenge by providing AI-powered, domain-agnostic connectors that can “FAIR-ify” DOs (i.e., data, code, experiments, experimental results and FDOs) and make them interoperable both within and across repositories. Leveraging existing EOSC-RAISE tools, it offers researchers and other stakeholders an entry point to access, share, and process FDOs with no effort. RAISE-CONNECT establishes an architectural framework for seamless creation, transformation, and integration of FDOs. At its core, it introduces an automated “FAIRification” service to continuously enhance DOs by searching across repositories for missing FAIR elements. This ensures that every DO can be transformed into an FDO that is discoverable, interoperable, and reusable. To maximise usability and uptake, RAISE-CONNECT lets users interact with DOs through natural language prompts, leveraging LLMs: users can “ask” for datasets, scripts, compare results, all without technical overhead. A model of Common Repository Connector acts as ”template” abstraction layer to bridge heterogeneous repositories, while different specific implementations of the it will be developed for well-known Data Spaces and DO repositories.